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Mosco convergence of Dirichlet forms in infinite dimensions with changing reference measures

机译:不断变化的参考尺度在无穷维Dirichlet形式的Mosco收敛

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摘要

Let E be an infinite-dimensional locally convex space, let {mu(n)} be a weakly convergent sequence of probability measures on E, and let {E-n} be a sequence of Dirichlet forms on E such that E-n is defined on L-2(mu(n)). General sufficient conditions for Mosco convergence of the gradient Dirichlet forms are obtained. Applications to Gibbs states on a lattice and to the Gaussian case are given. Weak convergence of the associated processes is discussed. (C) 2005 Elsevier Inc. All rights reserved.
机译:令E为无限维局部凸空间,令{mu(n)}为E上概率度量的弱收敛序列,令{En}为E上Dirichlet形式的序列,使得En在L-上定义2(μ(n))。获得梯度Dirichlet形式的Mosco收敛的一般充分条件。给出了对格上的吉布斯状态和高斯情况的应用。讨论了相关过程的弱收敛。 (C)2005 Elsevier Inc.保留所有权利。

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